Understanding the importance of the task to develop automation and digitalization of the oil and gas production process through artificial lift methods, Rosneft Oil Company has created a number of effective tools that make it possible to quickly analyze bulk data during the operation of the world's largest well stock. One of the corporate IT systems that include key artificial lift functions is the information system (IS) Mekhfond that was designed to combine many disparate databases and computer programs used in various oil production processes. In automatic mode, IS Mekhfond collects almost all process information for each artificial lift well. IS Mekhfond has become an indispensable tool both in day-to-day work and in the analysis of data arrays and process management. In 2018, the key functionality of the IS was successfully implemented and put into commercial operation enabling to develop online an energy-efficient design of downhole pumping equipment and automatic simulation of the ESP operation mode for all artificial lift wells, including the assessment of the current operation mode simultaneously for all existing ESP-assisted artificial lift wells (batch calculation) in 30 Subsidiaries of the Rosneft Group. Thereafter the resources of the corporate R&D institutes were concentrated on the derived functions development. The batch calculation made it possible to discover several new areas for optimizing the performance of the ESP well stock. The most demanded function is the possibility of qualitative and quantitative assessment of external factors affecting the ESP operation. For example, assessing the degradation of the pumps head-capacity curve in downhole conditions allows solving a number of problems in real time, such as improvement of the downhole equipment run life, efficiency improvement in the production well stock, choosing the optimal protection for downhole equipment, etc. Accurate modeling of the ESP operation actual mode together with the reference design of equipment in the IS Mekhfond allows to assess the potential for energy saving on a well-by-well basis, with the possibility of ranking by types of activity or models of equipment used, as well as to improve the accuracy in planning the product range and design of ESPs to be purchased, taking into account the effect of in situ conditions on ESP properties. In the future, it will be probably possible to identify many more important patterns.
References
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